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Azure Databricks Cookbook

You're reading from  Azure Databricks Cookbook

Product type Book
Published in Sep 2021
Publisher Packt
ISBN-13 9781789809718
Pages 452 pages
Edition 1st Edition
Languages
Authors (2):
Phani Raj Phani Raj
Profile icon Phani Raj
Vinod Jaiswal Vinod Jaiswal
Profile icon Vinod Jaiswal
View More author details

Table of Contents (12) Chapters

Preface 1. Chapter 1: Creating an Azure Databricks Service 2. Chapter 2: Reading and Writing Data from and to Various Azure Services and File Formats 3. Chapter 3: Understanding Spark Query Execution 4. Chapter 4: Working with Streaming Data 5. Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics 6. Chapter 6: Exploring Delta Lake in Azure Databricks 7. Chapter 7: Implementing Near-Real-Time Analytics and Building a Modern Data Warehouse 8. Chapter 8: Databricks SQL 9. Chapter 9: DevOps Integrations and Implementing CI/CD for Azure Databricks 10. Chapter 10: Understanding Security and Monitoring in Azure Databricks 11. Other Books You May Enjoy

Chapter 1: Creating an Azure Databricks Service

Azure Databricks is a high-performance Apache Spark-based platform that has been optimized for the Microsoft Azure cloud.

It offers three environments for building and developing data applications:

  • Databricks Data Science and Engineering: This provides an interactive workspace that enables collaboration between data engineers, data scientists, machine learning engineers, and business analysts and allows you to build big data pipelines.
  • Databricks SQL: This allows you to run ad hoc SQL queries on your data lake and supports multiple visualization types to explore your query results.
  • Databricks Machine Learning: Provides end-to-end machine learning environment for feature development, model training , experiment tracking along with model serving and management.

In this chapter, we will cover how to create an Azure Databricks service using the Azure portal, Azure CLI, and ARM templates. We will learn about different...

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